Silviase/jgov_v1.4_full_ann huggingface dataset:
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Hoshi, T. and A. Kashyap (2001), Corporate Financing and Governance in Japan: The Road to the Future, MIT Press, Cambridge, Mass.

Inui, T., D. Miyakawa, and K. Shoji (2011), “Bank Efficiency and Client Firms’ Export Behavior: Evidence from Firm-Bank Match-Level Data,” mimeo.

Ito, K. (2011) “Sources of Learning-by-Exporting Effects: Does Exporting Promote Innovation?,” mimeo.

Japanese Bankers Association (2011), Ajia Keizai-ken ni totte Nozomashii Kinyu-Hoken Shijo no Arikata: Ginko no Torihikisaki Kigyo no Kaigai Shinshutsu ni okeru Shien Jisseki [The Shape of a Desirable Financial and Capital Market for the Asian Economy: Case Studies on Banks’ Services to Support Client Firms’ International Activities], March 2011, Japanese Bankers Association.

Koenig, P., F. Mayneris, and S. Poncet (2010) “Local Export Spillovers in France,” European Economic Review 54: 622-641.

Krautheim, S. (2007), “Gravity and Information: Heterogeneous Firms, Exporter Networks and the ‘Distance Puzzle’,” EUI Working Papers ECO 2007/51, European University Institute.

Manova, K., S. Wei and Z. Zhang (2011), “Firm Exports and Multinational Activity under Credit Constraints,” NBER Working Paper 16905.

Mayer, T. and G. Ottaviano (2008), “The Happy Few: The Internationalisation of European Firms,” Intereconomics 43: 135-148.

Melitz, M. (2003), “The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity,” Econometrica 71(6): 1695-1725.

Minetti, R. and S. C. Zhu (2011), “Credit Constraints and Firms Export: Microeconomic Evidence from Italy,” Journal of International Economics 83: 109-125.

Muûls, M. (2008), “Exporters and Credit Constraints: A Firm Level Approach,” National Bank of Belgium, Working Paper Research 139.

Nitsch, V. (2009), “Die Another Day: Duration in German Import Trade,” Review of World Economics 145: 133-154.

Paravisini, D., V. Rappoport, P. Schnabl, and D. Wolfenzon (2011), “Dissecting the Effect of Credit Supply on Trade: Evidence from Matched Credit-Export Data,” NBER Working Paper 16975.

Patrick, H. (1994), “The Relevance of Japanese Finance and Its Main Bank System,” in M. Aoki and H. Patrick, eds., The Japanese Main Bank System: Its Relevance for Developing and
Transforming Economies, 359-360, Oxford University Press, Oxford.

Schröder, P. J. H. and A. Sørensen (2012), “Firm Exit, Technological Progress and Trade,” European Economic Review 56: 579-591.

Todo, Y. (2011), “Quantitative Evaluation of Determinants of Export and FDI: Firm-Level Evidence from Japan,” World Economy 34(3): 355-381.

Wakasugi, R., Y. Todo, H. Sato, S. Nishioka, T. Matsuura, B. Ito, and A. Tanaka (2008), “The Internationalization of Japanese Firms: New Findings Based on Firm-Level Data,” RIETI Discussion Paper 08-E-036, Research Institute of Economy, Trade and Industry.
Variable	Obs.	Average	Std. Dev.	Min	Max
NEW_EXP (Dummy for starting export)	3,220	0.02	0.15	0	1
NEW_EXP_REGION (Dummy for expanding export region)	3,220	0.15	0.36	0	1
NEW_EXP_ASIA (Dummy for starting Asian export)	3,220	0.03	0.17	0	1
NEW_EXP_NA (Dummy for starting Northern America export)	3,220	0.03	0.17	0	1
NEW_EXP_CSA (Dummy for starting Southern & Central America)	3,220	0.07	0.25	0	1
NEW_EXP_OCE (Dummy for starting Oceania export)	3,220	0.04	0.2	0	1
LN_NUMWORKER (Log of the number of workers)	2,914	7.02	1.11	4.03	10.59
FLEV (Total liability / Total asset)	3,205	0.52	0.18	0.05	0.96
FBDEP (Bank loan / Total liability)	3,209	0.31	0.21	0	0.89
FLIQ (Liquidity asset / Liquidity liability)	3,215	1.56	0.85	0.26	8.46
STLOAN (Short-term bank loan / Bank loan)	2,948	0.53	0.32	0	1
WAGE (Labor quality: Average wage)	2,903	6.49	1.78	0.46	12.72
FOR_BRANCH (Ratio of foreign cites)	3,206	0.05	0.11	0	0.68
FOR_EMP (Ratio of workers in abroad)	3,206	0	0.01	0	0.07
FOR_INV (Ratio of investments in abroad)	3,201	0.25	0.44	0	3.36
FOR_LOAN (Ratio of lending in abroad)	3,220	0.11	0.26	0	1
TFP (Productivity)	2,780	0.02	0.11	-0.97	0.59
NUM_EXPORTER (Number of clients exporting)	3,190	182.9	92.41	1	371
NUM_CLIENT (Number of clients)	3,190	353.06	183.63	8	759
BANKINFO (NUM_EXPORTER/NUM_CLIENT)	3,190	0.52	0.07	0.08	0.78
Table 2: Distribution of NUM\_CLIENT and BANKINFO in 2000

FY2000	NUM_CLIENT	BANKINFO
City bank	208	0.66
City bank	138	0.58
Trust bank	52	0.56
City bank	52	0.50
Other	47	0.51
City bank	44	0.64
City bank	43	0.51
Trust bank	43	0.47
City bank	41	0.61
Trust bank	31	0.45
Long-term	28	0.61
Regional	26	0.77
City bank	22	0.64
Long-term	22	0.50
Regional	15	0.47
Regional	12	0.92
Regional	11	0.64
Regional	11	0.55
Regional	10	0.30
Table 3: Correlation matrix

NEW_EXP_REG_ON	NEW_EXP_NA	NEW_EXP_CSA	NEW_EXP_OCE	NEW_N_UMW_ORKE_R	FLEV	FBDE	FLQ	STLO_AN	WAGE	FOR_BRANCH	FOR_EMP	FOR_IN_V	FOR_LOAN	TFP	NUM_EXP_ORTE_R	NUM_CLIE_NT	BANK_INFO	TFP×BANK_INFO
(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)	(15)	(16)	(17)	(18)	(20)
(1)	1.00
(2)	0.35	1.00
(3)	0.82	0.38	1.00
(4)	0.35	0.40	0.35	1.00
(5)	0.10	0.64	0.10	0.13	1.00
(6)	0.12	0.48	0.12	0.15	0.20	1.00
(7)	-0.02	0.05	0.00	0.05	0.04	0.06	1.00
(8)	0.01	0.03	0.01	0.02	0.03	0.04	0.00	1.00
(9)	0.01	-0.02	0.01	-0.01	-0.02	0.00	-0.26	0.47	1.00
(10)	-0.01	0.00	-0.01	-0.01	0.03	-0.03	-0.02	-0.68	-0.45	1.00
(11)	0.01	0.04	0.01	0.02	-0.01	0.00	-0.12	-0.03	-0.01	-0.07	1.00
(12)	-0.04	0.04	-0.02	0.00	0.04	0.06	0.18	0.02	-0.10	-0.01	-0.02	1.00
(13)	-0.01	0.03	0.01	0.03	0.03	0.03	0.16	-0.02	-0.06	0.05	0.01	0.12	1.00
(14)	-0.01	0.01	0.00	0.02	0.02	0.02	0.03	-0.06	-0.08	0.05	0.04	0.08	0.68	1.00
(15)	-0.02	0.04	-0.03	0.02	0.01	0.03	0.13	-0.12	-0.06	0.06	-0.05	0.08	0.14	0.18	1.00
(16)	0.00	0.00	0.00	-0.02	0.01	0.04	0.16	-0.09	-0.04	0.07	-0.05	0.05	0.06	0.07	0.19	1.00
(17)	0.00	-0.03	0.00	-0.01	-0.03	0.00	-0.01	-0.21	-0.21	0.22	-0.04	0.13	0.04	0.04	0.20	0.04	1.00
(18)	0.05	0.01	0.05	0.01	0.00	0.00	0.10	-0.06	-0.06	0.03	-0.01	0.08	0.05	0.04	0.01	0.02	0.11	1.00
(19)	0.04	0.00	0.04	0.01	-0.01	-0.01	0.09	-0.06	-0.06	0.03	-0.02	0.06	0.05	0.03	0.02	0.02	0.14	0.98
(20)	0.01	0.07	0.04	0.03	0.03	0.07	0.10	-0.01	-0.05	0.06	0.05	0.14	0.05	0.04	0.00	0.06	-0.07	0.04
(21)	0.00	-0.03	0.00	0.00	-0.03	0.00	-0.01	-0.22	-0.22	0.22	-0.04	0.13	0.04	0.04	0.19	0.03	0.99	0.10
Table 4: Distribution of sample firms by industry and year

2000	2001	2002	2003	2004	2005	2006	2007	2008	Total
Food and kindred products	43	41	40	32	32	34	44	44	52	362
Textile mill products, apparel	18	23	20	17	13	18	22	24	22	177
Lumber and wood products, furniture and fixtures	2	2	0	0	0	0	1	1	1	7
Paper and allied products	9	9	9	9	10	8	13	13	12	92
Printing, publishing and allied products	7	5	6	5	4	5	9	9	10	60
Chemicals	31	30	31	25	36	41	49	47	51	341
Petroleum and coal products	2	1	3	2	0	0	2	1	1	12
Rubber and miscellaneous plastics	6	4	7	5	5	5	4	7	10	53
Stone, clay and glass products	13	13	16	15	17	16	18	21	21	150
Metal	10	12	14	9	11	9	21	21	23	130
Non-metallic mining	11	8	7	6	5	6	12	12	15	82
Fabricated metal	15	15	14	9	11	10	20	19	19	132
Non-electrical machinery	18	15	13	12	19	24	26	35	32	194
Electrical and electronic machinery	52	45	51	39	49	62	65	75	77	515
Motor vehicles, transportation equipment and ordnance	28	36	31	28	36	43	44	46	46	338
Instruments	7	8	5	3	4	3	3	7	8	48
Miscellaneous manufacturing	19	18	17	19	16	17	20	21	22	169
Total	291	285	284	235	268	301	373	403	422	2,862
Table 5: Random-effect panel probit estimation results for extensive margin

(1)	(2)	(3)	(4)	(5)
NEW_EXP	NEW_EXP	NEW_EXP_REG_ION	NEW_EXP_REG_ION	NEW_EXP_REG_ION
Extensive Margin	dy/dx	dy/dx	dy/dx	dy/dx	dy/dx
LN_NUMWORKER	0.0594	0.0612	0.0849 **	0.0853 **	0.0890 **
(0.0675)	(0.0672)	(0.0374)	(0.0374)	(0.0369)
FLEV	0.3496	0.3010	0.3927	0.3858	0.3923
(0.6523)	(0.6510)	(0.3297)	(0.3290)	(0.3237)
FBDEP	0.8656 *	0.7559 *	0.0266	0.0231	0.0250
(0.4495)	(0.4435)	(0.2334)	(0.2332)	(0.2290)
FLIQ	0.3966 ***	0.3785 ***	-0.0478	-0.0484	-0.0456
(0.1466)	(0.1473)	(0.0734)	(0.0733)	(0.0725)
STLOAN	0.2612	0.3073	0.0411	0.0447	0.0383
(0.2383)	(0.2377)	(0.1133)	(0.1129)	(0.1117)
WAGE	-0.0330	-0.0349	0.0068	0.0066	0.0111
(0.0416)	(0.0416)	(0.0218)	(0.0218)	(0.0216)
FOR_BRANCH	0.5277	0.5627	-0.6871	-0.6884	-0.6460
(1.1716)	(1.1886)	(0.4553)	(0.4552)	(0.4491)
FOR_EMP	24.5621	21.5684	16.4349 **	16.4852 **	15.5256 **
(15.5615)	(16.1527)	(6.5394)	(6.5388)	(6.4744)
FOR_INV	0.2521	0.2648	-0.0238	-0.0251	-0.0140
(0.2245)	(0.2179)	(0.0889)	(0.0888)	(0.0869)
FOR_LOAN	-0.5484 *	-0.5297	0.0226	0.0215	0.0315
(0.3287)	(0.3291)	(0.1218)	(0.1217)	(0.1203)
TFP	-10.8578 **	-0.4327	-1.2803	0.2251	-0.0084
(5.3428)	(0.8626)	(3.3607)	(0.4695)	(0.4941)
BANKINFO†	2.7098 ***	2.0666 **	1.5565 **	1.5628 **	0.4764 **
(0.9117)	(0.8510)	(0.6591)	(0.6597)	(0.2028)
TFP×BANKINFO†	19.4209 **	2.8644	3.3046
(9.7683)	(6.3235)	(2.2393)
NUM_CLIENT	0.0008 *	0.0007	0.0001	0.0001	0.0001
(0.0005)	(0.0005)	(0.0002)	(0.0002)	(0.0002)
# Obs	1,178	1,178	2,589	2,589	2,570
# Groups	304	304	562	562	561
Obs per group: min	1	1	1	1	4
avg	3.9	3.9	4.6	4.6	4.6
max	10	10	9	9	9
Wald chi2	56.62	54.74	232.58	232.48	239.03
Prob > chi2	0.0265	0.0303	0.0000	0.0000	0.0000
Log likelihood	-313.15	-315.27	-942.19	-942.29	-933.58
Likelihood ratio test of rho0=0	5.23	5.53	1.83	1.8	0.61
Prob >= chibar2	0.011	0.009	0.088	0.09	0.217
Year dummies	yes	yes	yes	yes	yes
Industry dummies	yes	yes	yes	yes	no

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.

† The BANKINFO variable for Columns (1) - (4) is measured regardless of the destination region, while the BANKINFO variable in Column (5) is measured for each destination region.
Table 6: Panel logit estimation results for extensive margin

(1)	(2)	(3)	(4)
(PA)	(FE)	(RE)	(FE)
NEW_EXP_REG	NEW_EXP_REG	NEW_EXP_REG	NEW_EXP_REG
ION	ION	ION	ION
Extensive Margin	Odds Ratio	Odds Ratio	Odds Ratio	Odds Ratio
LN_NUMWORKER	1.1232 *	1.2843	1.1346 *	1.2746
(0.0714)	(0.3007)	(0.0779)	(0.2972)
FLEV	4.3200 ***	8.0844	4.5162 ***	11.0653
(2.3778)	(15.5052)	(2.6429)	(21.3757)
FBDEP	0.9486	3.1914	0.9595	3.5039
(0.3790)	(3.3545)	(0.4077)	(3.6864)
FLIQ	1.1388	1.0604	1.1401	1.0357
(0.1368)	(0.2999)	(0.1446)	(0.2969)
STLOAN	1.2091	1.4647	1.2230	1.4673
(0.2364)	(0.6397)	(0.2520)	(0.6461)
WAGE	1.0447	0.9916	1.0486	1.0125
(0.0387)	(0.0635)	(0.0411)	(0.0662)
FOR_BRANCH	0.4969	0.0572 **	0.4478	0.0847 *
(0.3790)	(0.0759)	(0.3644)	(0.1128)
FOR_EMP	4.15E+09 **	3.12E+29 ***	5.16E+10 **	4.03E+27 ***
(4.40E+10)	(5.75E+30)	(5.95E+11)	(7.38E+28)
FOR_INV	1.0870	0.7765	1.0813	0.8321
(0.1633)	(0.2759)	(0.1713)	(0.2890)
FOR_LOAN	1.1376	1.3147	1.1477	1.2993
(0.2333)	(0.4694)	(0.2505)	(0.4673)
TFP	0.1079	0.0076	0.1224	2.3192
(0.6546)	(0.0712)	(0.7748)	(3.6080)
BANKINFO†	20.8130 ***	8.9001	23.5516 **	0.3393 **
(24.6440)	(17.1476)	(29.2406)	(0.1519)
TFP×BANKINFO†	296.1543	3.66E+05	272.8471	3.16E+04 **
(3373.71)	(6.50E+06)	(3250.91)	(1.59E+05)
NUM_CLIENT	1.0000	1.0006	1.0000	1.0003
(0.0004)	(0.0006)	(0.0004)	(0.0006)
# Obs	2,589	1,413	2,589	1,396
# Groups	562	252	562	251
Obs per group: min	1	2	1	2
avg	4.6	5.6	4.6	5.6
max	9	9	9	9
Wald chi2	229.99	204.65	205.27	208.51
Prob > chi2	0	0	0.0000	0.0000
Log likelihood	-	-383.54	-964.05	-375.10
Likelihood ratio test of rho0=0	-	-	4.72	-
Prob >= chibar2	-	-	0.015	-
Year dummies	yes	yes	yes	yes
Industry dummies	no	no	no	no

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.

† The BANKINFO variable for Columns (1) - (3) is measured regardless of the destination region, while the BANKINFO variable in Column (4) is measured for each destination region.
Table 7: Random-effect panel probit estimation results for extensive margin by destination region

(1)	(2)	(3)	(4)	(5)
NEW_EXP_ASIA	NEW_EXP_NA	NEW_EXP_CSA	NEW_EXP_AFR	NEW_EXP_OCE
Extensive Margin	dy/dx	dy/dx	dy/dx	dy/dx	dy/dx
LN_NUMWORKER	0.0581	0.4464 ***	0.1009 *	0.1576 *	0.1499 **
(0.0823)	(0.1621)	(0.0545)	(0.0843)	(0.0763)
FLEV	0.7978	1.2477	1.0709 **	1.4298 *	0.2956
(0.7941)	(1.1094)	(0.5092)	(0.7510)	(0.6552)
FBDEP	0.4545	1.8494 **	-0.2969	-0.3514	-0.3018
(0.5209)	(0.9449)	(0.3508)	(0.5145)	(0.4636)
FLIQ	0.3822 **	0.3905	0.1073	0.1339	-0.2702 *
(0.1888)	(0.2378)	(0.1112)	(0.1625)	(0.1526)
STLOAN	0.3607	0.4460	0.0302	-0.0789	-0.0437
(0.2663)	(0.3702)	(0.1705)	(0.2536)	(0.2199)
WAGE	-0.0798	-0.0997	0.0268	0.1146 **	0.0641
(0.0511)	(0.0658)	(0.0327)	(0.0456)	(0.0410)
FOR_BRANCH	0.0332	-2.4972	-0.3675	0.8157	0.2359
(1.5995)	(2.1615)	(0.7125)	(0.8552)	(0.8553)
FOR_EMP	42.2748 **	77.6527 **	17.8788 *	-2.6105	6.7518
(21.2118)	(31.7772)	(9.4868)	(12.4718)	(11.3327)
FOR_INV	-0.5063	0.5267	-0.0772	0.1686	0.2356
(0.3865)	(0.3795)	(0.1476)	(0.1818)	(0.1624)
FOR_LOAN	0.0485	-0.7049	0.3178 *	-0.0421	0.0036
(0.3312)	(0.5758)	(0.1718)	(0.2431)	(0.2387)
TFP	-0.5318	-5.0289	-1.1761	0.3440	1.2884
(7.3806)	(5.7492)	(2.3737)	(0.9744)	(2.3621)
BANKINFO†	2.8382 **	0.6886	1.4655	-0.0336	1.0355
(1.4160)	(1.5599)	(1.1103)	(0.2954)	(1.0289)
TFP×BANKINFO†	1.7274	14.4149	8.8588	-3.6875	-6.3045
(13.7284)	(13.6617)	(9.3470)	(14.2688)	(9.1479)
NUM_CLIENT	0.0008	0.0004	0.0001	0.0000	0.0002
(0.0006)	(0.0007)	(0.0004)	(0.0006)	(0.0004)
# Obs	815	1,143	1,910	1,649	1,969
# Groups	213	275	483	434	454
Obs per group: min	1	1	1	1	1
avg	3.8	4.2	4	3.8	4.3
max	9	9	9	9	9
Wald chi2	41.33	22.84	164.84	82.65	40.6
Prob > chi2	0.249	0.9672	0.0000	0.0000	0.3147
Log likelihood	-157.3956	-197.99	-453.62	-323.76	-346.42
Likelihood ratio test of rho0=0	0	7.25	1.46	9.2	4.39
Prob >= chibar2	1	0.004	0.113	0.001	0.018
Year dummies	yes	yes	yes	yes	yes
Industry dummies	yes	yes	yes	yes	yes

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.

$ ^{\dagger} $ The BANKINFO variable is measured for each destination region.
Table 8: Fixed-effect panel estimation results for intensive margin

Panel (a): All regions

(1)	(2)
LN_EXPORT	$ \Delta $ LN_EXPORT
Intensive Margin	Coefficient	Coefficient
LN_NUMWORKER	0.1596	-0.4597 ***
(0.2083)	(0.1744)
FLEV	-0.3610	-1.0596 *
(0.6445)	(0.5894)
FBDEP	-0.2657	0.0972
(0.3539)	(0.3608)
FLIQ	-0.0557	0.0253
(0.1307)	(0.1336)
STLOAN	-0.0966	0.0247
(0.1408)	(0.1402)
WAGE	0.0192	-0.0129
(0.0271)	(0.0275)
FOR_BRANCH	0.7586	0.1181
(0.4661)	(0.4290)
FOR_EMP	7.4139	-0.1965
(5.5907)	(5.6848)
FOR_INV	0.4138 **	0.0531
(0.1917)	(0.1541)
FOR_LOAN	0.0486	0.0039
(0.0874)	(0.0798)
TFP	0.1745	-3.1451
(2.2030)	(2.0943)
BANKINFO	-0.3234	-0.5169
(0.4680)	(0.6068)
TFP×BANKINFO	-0.5957	6.9974 *
(4.3403)	(4.2042)
NUM_CLIENT	0.0001	0.0000
(0.0003)	(0.0003)
_cons	7.2424 ***	4.0855 ***
(1.7397)	(1.4323)
# Obs	1,656	1,328
# Groups	426	389
Obs per group: min	1	1
avg	3.9	3.4
max	9	9
F	4.7	1.91
Prob > F	0	0.011
R-sq: within	0.0872	0.03
between	0.3209	0.0169
overall	0.247	0.0028
corr(u i, Xb)	0.3668	-0.7657
Year dummies	yes	yes
Industry dummies	no	no

Notes: Standard errors clustered within a firm are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.
Table 8: Fixed-effect panel estimation results for intensive margin --- continued ---

Panel (b): Estimated coefficient for BANKINFO by destination region

(1)	(2)	(3)	(4)	(5)
Asia	North America	Central and South America	Africa	Oceania
Intensive Margin	Coefficient	Coefficient	Coefficient	Coefficient	Coefficient
Dependent variable: LN_EXPORT BANKINFO	-0.4527
(0.5260)	-0.4859
(0.5162)	-2.3443
(2.6461)	0.1132
(0.7668)	-2.3285
(1.3063)
# Obs	1,600	1,172	504	229	447
# Groups	415	348	261	147	199
Obs per group: min	1	1	1	1	1
avg	3.9	3.4	1.9	1.6	2.2
max	9	9	8	7	8
F	5.39	6.15	3.8	3.03	2.73
Prob > F	0	0	0	0	0.0002
R-sq: within	0.1024	0.37	0.29	0.33	0.16
between	0.2539	0.1355	0.1507	0.0185	0.0965
overall	0.1877	0.1298	0.1466	0.0468	0.1346
corr(u_i, Xb)	0.2644	0.0265	-0.1877	-0.3475	-0.035
Dependent variable: $ \Delta $ LN_EXPORT BANKINFO	-0.1269
(0.7294)	-1.1411 *
(0.6456)	-2.0576
(2.6331)	-2.8330 **
(1.4032)	-6.1500 ***
(1.7790)
# Obs	1,281	861	232	80	251
# Groups	381	291	103	48	117
Obs per group: min	1	1	1	1	1
avg	3.4	3	2.3	1.7	2.1
max	9	9	7	6	7
F	1.26	6.16	7.82	.	.
Prob > F	0.2057	0	0	.	.
R-sq: within	0.0225	0.49	0.40	0.67	0.17
between	0.002	0.3065	0.0167	0.0119	0.0267
overall	0.0008	0.3797	0.0729	0.02	0.0286
corr(u_i, Xb)	-0.7252	-0.3769	-0.6869	-0.9978	-0.6516
Year dummies	yes	yes	yes	yes	yes
Industry dummies	no	no	no	no	no

Notes: Standard errors clustered within a firm are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively. Results for other explanatory variables not shown to conserve space. Most coefficients were found to be not statistically significant.
Table 9: Random-effect panel probit estimation results for extensive margin (NUM_EXOPRTER)

(1)	(2)	(3)
NEW_EXP	NEW_EXP	NEW_EXP
Extensive Margin	dy/dx	dy/dx	dy/dx
LN_NUMWORKER	0.0728	0.0731	0.0753
(0.0690)	(0.0697)	(0.0701)
FLEV	0.4042	0.4154	0.4190
(0.6677)	(0.6745)	(0.6769)
FBDEP	0.7298	0.7272	0.7395
(0.4541)	(0.4578)	(0.4598)
FLIQ	0.3911 ***	0.3903 ***	0.3964 ***
(0.1495)	(0.1505)	(0.1519)
STLOAN	0.3419	0.3423	0.3531
(0.2439)	(0.2458)	(0.2467)
WAGE	-0.0360	-0.0347	-0.0322
(0.0426)	(0.0429)	(0.0430)
FOR_BRANCH	0.6481	0.6836	0.7460
(1.2122)	(1.2172)	(1.2240)
FOR_EMP	19.5788	18.8347	18.6063
(16.4042)	(16.4003)	(16.4596)
FOR_INV	0.2439	0.2474	0.2376
(0.2236)	(0.2259)	(0.2274)
FOR_LOAN	-0.4911	-0.4930	-0.4677
(0.3329)	(0.3350)	(0.3347)
TFP	-0.3670	-0.4631	-0.3705
(0.8813)	(0.8872)	(0.8876)
NUM_EXPORTER	0.0019 **
(0.0009)
LN_NUM_EXPORTER	0.1829 *
(0.0990)
NUM_CLIENT	0.0007
(0.0005)
# Obs	1,178	1,178	1,178
# Groups	304	304	304
Obs per group: min	1	1	1
avg	3.9	3.9	3.9
max	10	10	10
Wald chi2	51.32	49.69	48.73
Prob > chi2	0.047	0.0641	0.0765
Log likelihood	-316.66	-317.23	-318.09
Likelihood ratio test of rho0=0	6.94	7.43	7.67E+00
Prob >= chibar2	0.004	0.003	0.003
Year dummies	yes	yes	yes
Industry dummies	yes	yes	yes

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.
Table 10: Random-effect panel probit estimation results for extensive margin (Sample split by NUM_CLIENT)

(1)	(2)	(3)	(4)
NEW_EXP	NEW_EXP	NEW_EXP_REG_ION	NEW_EXP_REG_ION
NUM_CLIENT =>30	NUM_CLIENT =>50	NUM_CLIENT =>30	NUM_CLIENT =>50
Extensive Margin	dy/dx	dy/dx	dy/dx	dy/dx
LN_NUMWORKER	0.0546	0.0718	0.0775 **	0.0814 **
(0.0684)	(0.0704)	(0.0378)	(0.0381)
FLEV	0.3368	0.5318	0.3923	0.4070
(0.6642)	(0.6854)	(0.3327)	(0.3378)
FBDEP	0.8516 *	1.0322 **	-0.0324	-0.0096
(0.4571)	(0.4767)	(0.2359)	(0.2411)
FLIQ	0.3905 ***	0.4319 ***	-0.0509	-0.0358
(0.1480)	(0.1613)	(0.0739)	(0.0745)
STLOAN	0.2673	0.2736	0.0223	0.0323
(0.2430)	(0.2509)	(0.1145)	(0.1161)
WAGE	-0.0350	-0.0428	0.0061	0.0101
(0.0421)	(0.0430)	(0.0219)	(0.0222)
FOR_BRANCH	0.4500	0.3419	-0.6851	-0.7980 *
(1.1816)	(1.2156)	(0.4583)	(0.4653)
FOR_EMP	24.7524	26.6852 *	16.9833 ***	16.7708 **
(15.5839)	(15.9555)	(6.6133)	(6.6771)
FOR_INV	0.2590	0.2259	-0.0346	-0.0351
(0.2279)	(0.2324)	(0.0895)	(0.0903)
FOR_LOAN	-0.5502 *	-0.5374	0.0186	0.0111
(0.3310)	(0.3347)	(0.1221)	(0.1237)
TFP	-11.8980 **	-11.7997 **	-1.9910	0.8182
(5.7548)	(6.1490)	(3.5450)	(3.8304)
BANKINFO†	2.6902 ***	2.8001 ***	1.4519 **	1.5710 **
(0.9427)	(0.9953)	(0.6875)	(0.7774)
TFP×BANKINFO†	21.4722 **	20.9268 *	4.0608	-1.4975
(10.5769)	(11.2461)	(6.6871)	(7.2416)
NUM_CLIENT	0.0007	0.0010 *	0.0000	0.0002
(0.0005)	(0.0005)	(0.0002)	(0.0003)
# Obs	1,137	1,088	2,542	2,436
# Groups	299	289	555	545
Obs per group: min	1	1	1	1
avg	3.8	3.8	4.6	4.5
max	10	10	9	9
Wald chi2	53.39	50.24	230.25	223.49
Prob > chi2	0.05	0.0887	0.0000	0.0000
Log likelihood	-310.20	-297.82	-931.55	-892.87
Likelihood ratio test of rho0=0	5.55	5.26	1.81	1.45
Prob >= chibar2	0.009	0.011	0.089	0.114
Year dummies	yes	yes	yes	yes
Industry dummies	yes	yes	yes	yes

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.
Table 11: Random-effect panel probit estimation results for extensive margin (Subsample not being affected by M&A)

(1)	(2)
NEW_EXP	NEW_EXP_REG_ION
Extensive Margin	dy/dx	dy/dx
LN_NUMWORKER	0.0439	0.0794 *
(0.0700)	(0.0437)
FLEV	0.2667	0.1177
(0.6710)	(0.3804)
FBDEP	0.9798 **	0.0149
(0.4810)	(0.2711)
FLIQ	0.3056 **	-0.1087
(0.1563)	(0.0896)
STLOAN	0.1196	-0.0652
(0.2550)	(0.1317)
WAGE	-0.0522	0.0132
(0.0479)	(0.0267)
FOR_BRANCH	2.1572	-0.4945
(1.4246)	(0.5498)
FOR_EMP	-13.6258	13.6487
(30.0703)	(8.3253)
FOR_INV	0.2919	0.2002 *
(0.2277)	(0.1099)
FOR_LOAN	-0.4259	-0.0658
(0.3438)	(0.1432)
TFP	-12.2375 **	-1.7633
(6.2281)	(4.1570)
BANKINFO†	3.0662 ***	1.6095 **
(1.0164)	(0.8030)
TFP×BANKINFO†	21.5514 *	3.2155
(11.2464)	(7.8535)
NUM_CLIENT	0.0009 *	0.0000
(0.0005)	(0.0003)
# Obs	818	1,799
# Groups	247	478
Obs per group: min	1	1
avg	3.3	3.8
max	10	9
Wald chi2	48.04	209.93
Prob > chi2	0.1274	0
Log likelihood	-217.49	-618.67
Likelihood ratio test of rho0=0	0.35	1.20E-04
Prob >= chibar2	0.278	0.496
Year dummies	yes	yes
Industry dummies	yes	yes

Notes: Standard errors are in parentheses. $ *\*\* $ , $ *\* $ , and $ * $ indicate significance at the 1, 5, and 10 percent level, respectively.
平 成 25 年 度 特 别 会 計 決 算 参 照 書

(第 187 回 国 会 提 出)
## 目次

## 平成25年度特別会計決算参照書

閏府、総務省及び財務省所
管

交付税及び議与税配付金
財務省所管

地震再保険

国债整理基金

外国為替資金

財務省及び国土交通省所管
財政投融資

内閣府、文部科学省、経済産業省及び環境省所管
エネルギー対策

厚生労働省所管

労働保険

年金

農林水産省所管

食料安定供給

農業共済再保険

貢

1

1

15

15

25

37

51

51

83

83

115

115

169

227

227

301
森林保険 339
国有林野事業債務管理 351
漁船再保険及び漁業共済保険 357
経済産業省所管 391
貿易再保険 391
特許 403
国土交通省所管 415
社会資本整備事業 415
自動車安全 553
国会、裁判所、会计検査院、内閣、内閣府、復興庁、総務省、法務省、外務省、財務省、文部科学省、厚生労働省、農林水産省、経済産業省、国土交通省、環境省及び防衛省所管 579
東日本大震災復興 579
(参考)
各特別会計の公債、借入金及び政府短期証券の集計表 744
コード番号について 747
( 1 )

平成25年度内閣府、総務省及び財務省所管

## 交付税及び議与稅配付金特別会計決算参照書
# 平成25年度内閣府、総務省及び財務省所管 90010 交付税及び議与税配付金特別会計

# 歲入歲出決定計算書

## 90011 交付税及び譲与税配付金勘定

平成25年度における

収納済歳入額は

56,061,266,915,417円

であって

支出済歳出額は

53,749,240,979,407円

である。

したがって、歳入歳出差引き 2,312,025,936,010 円

の剰余を生ずる。

この勘定は、特別会計に関する法律等の一部を改正する等の法律(平成25年法律第76号。以下「改正法」という。)第1条の規定により本年度限り廃止されたので、この剰余金は、改正法附則第2条第1項の規定により交付税及び譲与税配付金特別会計の平成26年度の歳入に繰り入れることとし

廃止の際この勘定に所属していた権利義務は、改正法附則第2条第3項の規定により交付税及び譲与税配付金特別会計に帰属させることとして、決算を結了した。

次に、歳入歳出決算に係る各事項の総額を示せば、下表のとおりである。
1 歲 入
歲 入 予 算 額	徵 収 決 定 済 額	収 納 済 歲 入 額	不 納 欠 損 額	収 納 未 済 歲 入 額	歲入予算額と収納済済入額との差(△は減)
当 初 予 算 額 (円)	予算補正追加額予算補正修正減少額(△)(円)	合計(円)	(円)	(円)	(円)	(円)
53,951,807,120,000	1,468,225,059,000	55,420,032,179,000	56,061,266,915,417	56,061,266,915,417	0	0	641,234,736,417
2 歲 出
歲 出 予 算 額	前年度線越額(円)	予備費使用額(円)	予算総則の規定による經費增額(円)	歳出予算現額(円)	支出済済出額(円)	翌年度線越額(円)	不 用 額(円)	備 考
当初予算額(円)	予算補正追加額予算補正修正減少額(△)(円)	合計(円)
53,515,113,912,000	1,461,425,059,000	54,976,538,971,000	890,306,812,000	0	0	55,866,845,783,000	53,749,240,979,407	1,797,593,894,000	320,010,909,593	翌年度線越額の内訳特別会計に関する法律(平成19年法律第23号)第27条の規定による線越額1,797,593,894,000円
(主要經費別内訳)
区 分	歳 出 予 算 額 (円)	前年度線越額(円)	予備費使用額(円)	予算総則の規定による經費增額(円)	流用等增△減額(円)	歳出予算現額(円)	支出済済出額(円)	翌年度線越額(円)	不 用 額(円)
20 国 債 費	33,591,895,408,000	0	0	0	0	33,591,895,408,000	33,469,192,730,223	0	122,702,677,777
31 地方交付稅交付金	18,666,080,331,000	890,306,812,000	0	0	0	19,556,387,143,000	17,595,453,518,000	1,797,593,894,000	163,339,731,000
32 地方特例交付金	125,522,000,000	0	0	0	0	125,522,000,000	125,522,000,000	0	0
33 地方議与稅議与金	2,590,201,283,000	0	0	0	0	2,590,201,283,000	2,558,841,845,279	0	31,359,437,721
95 その他の事項経費	239,949,000	0	0	0	0	239,949,000	230,885,905	0	9,063,095
98 予 備 費	2,600,000,000	0	0	0	0	2,600,000,000	0	0	2,600,000,000